824 search results - page 34 / 165 » Learning probabilistic logic models from probabilistic examp... |
134
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IJAR
2006
15 years 4 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
144
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TACAS
2004
Springer
15 years 9 months ago
2004
Springer
Numerical analysis based on uniformisation and statistical techniques based on sampling and simulation are two distinct approaches for transient analysis of stochastic systems. We ...
149
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AAAI
2010
15 years 5 months ago
2010
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
168
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TSMC
2002
15 years 3 months ago
2002
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
140
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ACCV
2010
Springer
14 years 11 months ago
2010
Springer
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...